Reverse Dependencies of joblib

The following projects have a declared dependency on joblib:

• 111752 — malware analysis
• 170051277-trab-final-gces — Pacote utilizado para o deploy do trabalho final da disciplina Gerência de Configuração e Evolução de Software (GCES).
• 1NeuronPerceptron-Pypi-mdnazmulislam0087 — its an implimentation of Perceptron
• 2022-2-gces-ifpf — no summary
• A2G — Accurarate amplicon alignment to gene consensus
• a2grunnerp — A2G Runner for Local Workflow
• a2ml — A powerful API to Automate Machine Learning workflows from multiple vendors.
• abdelrahman-obfuscate — Convo: the AI powered chatbot API 2.0
• abdo — kjdfdlsjlkdfl
• abdo-obfuscate — Obfuscate Convo Test
• abdoconvo — dynamic forms updated
• ablean — A CLI aimed at making it easier to run QuantConnect's LEAN engine locally and in the cloud
• AbPyTools — Python package for antibody analysis
• accelerometer — A package to extract meaningful health information from large accelerometer datasets e.g. how much time individuals spend in sleep, sedentary behaviour, walking and moderate intensity physical activity
• accelo — no summary
• Accuinsight — Model life cycle and monitoring library in Accuinsight+
• accutuning-helpers — no summary
• aced-submission — Populate ACED commons from FHIR resources
• acmenewscollectors-pkg-rioatmadja2018 — Python wheel to collect news articles, videos, and images.
• actipy — Python package to process wearable accelerometer data
• AdonisAI — AdonisAI is python library to build your own AI virtual assistant with natural language processing.
• adversarial-labeller — Sklearn compatiable model instance labelling tool to help validate models in situations involving data drift.
• afd-measures — A collection of measures for Approximate Functional Dependencies in relational data.
• aftool — Asdil Fibrizo's tool
• agent-torch — Design, Simulate and Optimize Agent-based Models with Automatic Differentiation.
• agentpy — Agent-based modeling in Python
• aggmap — Jigsaw-like AggMap: A Robust and Explainable Omics Deep Learning Tool
• ai-flow-nightly — An open source framework that bridges big data and AI.
• ai-python — Microsoft AI Python Package
• ai2-kit — no summary
• aichatbot — Python library for building custom AI Chatbot with just one line of code.
• aict-tools — Artificial Intelligence for Imaging Atmospheric Cherenkov Telescopes
• aidapy — AI package for heliophysics
• aidevlog — Templete of AIDevLog
• aimlops-sentiment-model — Sentiment Model for assessing sentiment. It is a classification model package
• aio-overpass — Async client for the Overpass API
• airball — A package for running and managing flybys using REBOUND
• aironsuit — A model wrapper for automatic model design and visualization purposes.
• airontools — Machine learning tools to complement the AIronSuit package.
• aisdc — Tools for the statistical disclosure control of machine learning models
• aithamza-regression-model — Example regression model package from Train In Data.
• AITViewer — Viewing and rendering of sequences of 3D data.
• ak-sw-benchmarker — AK_SW_BENCHMARKER that makes it possible to apply different sizing algorithms and allometric yield prediction models to manually labeled color and depth tree images.
• akerbp.mlpet — Package to prepare well log data for ML projects.
• akerbp.models — Machine Learning Models for Petrophysics
• ale-uy — Tool to perform data cleaning, modeling and visualization in a simple way.
• alexflow — ALEXFlow is a python workflow library built for reproducible complex workflow
• alfabet — A library to estimate bond dissociation energies (BDEs) of organic molecules
• algotom — Data processing algorithms for tomography
• aliopts — A hyperparameter optimization framework
• allowed-ghosts — Daily inspiration for `ALLOWED_HOSTS` values.
• ALP4lib — A module to control Vialux DMDs based on ALP4.X API.It uses the .ddl files provided by Vialux.
• alphacsc — Convolutional dictionary learning for noisy signals.
• alphagens — An event-driven backtesting system
• ambibulb — Python utility controls the color of RC lights based on the dominant color of an image on your screen.
• ambrosia — A Python library for working with A/B tests.
• ambrozia — A Python library for working with A/B tests.
• ames-model — Trained regression model for the ames dataset
• AMLBID — Transparent and Auto-explainable AutoML
• amof — A python package to analyze Molecular Dynamics (MD) trajectories of amorphous Metal-Organic Frameworks (MOFs).
• Amplo — Fully automated end to end machine learning pipeline
• analitica-escalable-pec-2 — Example model package.
• analitica-test — Example model package.
• analysis-tools — Analysis tools for Machine learning projects
• analytics-mesh — Facades and common functions necessary for data science and data engineering workflows
• ananse — A python package to partially automate search term selection and writing search strategies for systematic reviews
• anatomy — Shapley-based decomposition to anatomize the of out-of-sample accuracy of time-series forecasting models
• animal-classification — classification of animals using machine learning models
• anime-pgen — cli-утилита для генерации превью-изображений по данным Шикимори
• anl — ANAC Automated Negotiations League Platform
• ANN-Implementation-AmanGupta0112 — Simple ANN implementation using tensflow Dataset
• anndata — Annotated data.
• annhub-python — Main backend module, which is used for developing web-app logic and deploying AI model.
• annif — Automated subject indexing and classification tool
• annin_dofu — annin_dofu description
• AnnotationPipeline — WUR nematology Annotation Pipeline
• anonymeter — Measure singling out, linkability, and inference risk for synthetic data.
• anscenter — Backend module for ANSCENTER project
• ansible-risk-insight — My package description
• antco — Ant Colony Optimization framework
• apache-beam — Apache Beam SDK for Python
• apache-beam-ai2 — A FORK! for testing with different dill version
• aplusml — Conduct usefulness simulations of ML models embedded in workflows
• apollinaire — Module for helio- and asteroseismic data analysis
• application-gces-2-2022-douglasmonteles — no summary
• approxbayescomp — Approximate Bayesian Computation for actuaries
• approximate-cluster-identities — A package to calculate and visualise approximate cluster identities for a large number of short nucleotide sequences using minimisers.
• apscale — Advanced Pipeline for Simple yet Comprehensive AnaLysEs of DNA metabarcoding data
• aquariumlearning — Aquarium Learning Python Client
• archetype-core-nlp — no summary
• archive-query-log — Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives.
• arcos4py — A python package to detect collective spatio-temporal phenomena.
• arctic-ai — Python package for Arctic Workflow. Mirrors jupyter developments.
• arcus-azureml — A Python library to improve MLOps methodology on Azure Machine Learning
• argueview — ArgueView is a tool for generating text-based presentations for machine-learning predictions and feature-importance based explanation tools. The tool makes use of Toulmin's model of argumentation for structuring the text-based explanations.
• arnold-house-price-regression-model — Example regression model package by Arnold Ighiwiyisi
• artap — Platform for robust design optimization
• artificial-neural-network-model-automation — This repository is for automating artificial neural network model creation with tabular data using Keras framework.
• artus — A geoAI package to train and predict spatial occurences on rasters or georeferenced images.
• arus — Activity Recognition with Ubiquitous Sensing